1,214 Employee Data jobs in South Africa

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Project:
Implementation Study on the Dapivirine Vaginal Ring

Location:
Remote

Duration:
12 months, part-time consultancy basis

Application Deadline:
20 October 2025

Background

An implementation study on the dapivirine vaginal ring (DVR) was conducted in South Africa, Kenya, Zimbabwe, Lesotho, Uganda and Eswatini. The study generated quantitative data on uptake, adherence, and user experiences. We are seeking a qualified Biostatistician to support data analysis for an implementation study on the dapivirine vaginal ring, a long-acting biomedical HIV prevention method. The consultant will analyze quantitative data on uptake, adherence, and user experiences, producing report and publication-ready results to inform regulatory, policy and programmatic decisions.

Scope of Work

· Review study protocol, objectives, and datasets.

· Develop and finalize a statistical analysis plan (SAP).

· Clean and merge datasets

· Conduct appropriate statistical analyses, including descriptive, inferential, and multivariable analyses

· Provide guidance on data quality, management, and handling of missing data.

· Generate report and publication-ready tables, figures, and outputs.

· Contribute to interpretation of findings and drafting of results sections for reports and manuscripts.

· Participate in virtual meetings with the study team as needed.

Deliverables

· Finalize statistical analysis plan.

· Clean and merge datasets

· Write reproducible code (Stata/R/SAS preferred) and conduct appropriate statistical analyses.

· Comprehensive results tables and figures (report and publication ready).

· Analytical report summarizing findings.

· Contributions to reports, manuscripts, policy briefs, and presentations as needed.

Qualifications

· Advanced degree (MSc) in Biostatistics, Statistics, or related quantitative field, PhD preferrable.

· Demonstrated experience in analyzing implementation science or public health studies.

· Proficiency in Stata, R, or SAS.

· Strong track record of peer-reviewed publications or reports.

· Familiarity with HIV prevention research and/or women's health interventions desirable.

· Excellent communication skills and ability to work collaboratively with multidisciplinary teams.

Level of Effort & Duration

Estimated 12 days per month (3 days/week) over 12 months (with flexibility based on agreed scope) from 01 November 2025 to 31 October 2026. Remote, with communication primarily via email/virtual meetings.

How to Apply

Interested applicants should submit:

1. Cover letter outlining relevant experience.

2. CV (max 4 pages).

3. Example(s) of previous analysis outputs (tables/figures/manuscript contributions).

4. Proposed daily or monthly consultancy rate.

Send applications to:

Deadline: 20 October 2025

We are looking for an experienced intermediate Data Engineer. Candidate must have strong SQL & SSIS capabilities, good production support with experience for being on call on a 7-day rotation cycle. AWS cloud skills would be a massive benefit as well.

Skills & Experience Required:

Technical Stack:

• Strong proficiency in 
  SSIS (SQL Server Integration Services)
   – candidates should demonstrate extensive experience in developing, optimising, and maintaining SSIS packages in a production environment.
• Proven 
  ability to perform 24/7 on-call support
   and handle production support issues effectively and independently.
• Ability to balance operational responsibilities with new development – we're looking for someone who is not only strong in maintaining and supporting existing systems but also has the capability to drive and implement new projects independently.
• Self-starter with the confidence to take ownership of deliverables, proactively identify issues, and provide solutions without needing constant direction.
• Strong 
  SQL
   and 
  data modelling
   skills (dimensional and normalized)
• Proficient in 
  Python
   or 
  Scala
• Strong SSIS knowledge
• Experience with 
  Spark
   (PySpark preferred)
• Experience with 
  cloud platforms
  , ideally 
  AWS
   (e.g., S3, Glue, Athena, EMR)
• Knowledge of 
  data warehouse
   and 
  data lake
   architectures
• Exposure to 
  CI/CD pipelines
   and containerization (e.g., Docker, GitLab CI)

Production Support Requirements:

This role includes participation in a rotational production support schedule. The successful candidate must be willing and able to:

• Be on call every third week as part of a structured support roster.
• Respond to after-hours callouts, including late-night or early-morning alerts.
• Support and troubleshoot issues in the nightly batch process to ensure successful completion.
• Work collaboratively with operations and infrastructure teams to resolve time-sensitive issues under pressure.
• Maintain logs, escalate critical incidents, and ensure accurate handovers.
• This support responsibility is critical to ensure the availability and continuity of data services required by business users and systems across the enterprise.

Contract

4 to 25 years

Negotiable

03 September 2025

We are seeking a skilled Data Engineer to design and develop scalable data pipelines that ingest raw, unstructured JSON data from source systems and transform it into clean, structured datasets within our Hadoop-based data platform. The ideal candidate will play a critical role in enabling data availability, quality, and usability by engineering the movement of data from the Raw Layer to the Published and Functional Layers.

Key Responsibilities:

• Design, build, and maintain robust data pipelines to ingest raw JSON data from source systems into the Hadoop Distributed File System (HDFS).
• Transform and enrich unstructured data into structured formats (e.g., Parquet, ORC) for the Published Layer using tools like PySpark, Hive, or Spark SQL.
• Develop workflows to further process and organize data into Functional Layers optimized for business reporting and analytics.
• Implement data validation, cleansing, schema enforcement, and deduplication as part of the transformation process.
• Collaborate with Data Analysts, BI Developers, and Business Users to understand data requirements and ensure datasets are production-ready.
• Optimize ETL/ELT processes for performance and reliability in a large-scale distributed environment.
• Maintain metadata, lineage, and documentation for transparency and governance.
• Monitor pipeline performance and implement error handling and alerting mechanisms.

Technical Skills & Experience:

• 3+ years of experience in data engineering or ETL development within a big data environment.
• Strong experience with Hadoop ecosystem tools: HDFS, Hive, Spark, YARN, and Sqoop.
• Proficiency in PySpark, Spark SQL, and HQL (Hive Query Language).
• Experience working with unstructured JSON data and transforming it into structured formats.
• Solid understanding of data lake architectures: Raw, Published, and Functional layers.
• Familiarity with workflow orchestration tools like Airflow, Oozie, or NiFi.
• Experience with schema design, data modeling, and partitioning strategies.
• Comfortable with version control tools (e.g., Git) and CI/CD processes.

Nice to Have:

• Experience with data cataloging and governance tools (e.g., Apache Atlas, Alation).
• Exposure to cloud-based Hadoop platforms like AWS EMR, Azure HDInsight, or GCP Dataproc.
• Experience with containerization (e.g., Docker) and/or Kubernetes for pipeline deployment.
• Familiarity with data quality frameworks (e.g., Deequ, Great Expectations).

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

• Relevant certifications (e.g., Cloudera, Databricks, AWS Big Data) are a plus.

• In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent

• If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.

Big DataApache HadoopApache HivePySparkSQLJSONData Engineering

BankingFinancial Services

About Discovery
Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Bank
Discovery Bank is a bank like no other – a shared-value bank, designed with our clients in mind. We're all about sharing the value that clients create when they manage their money well, back with them through exceptional interest rates and rewards. Our Vitality Money programme measures how well clients manage their finances, informs them of what it means to be financially healthy, and empowers them with the knowledge to get enhanced rewards for managing their money well. If you're adaptable, a problem-solver, always questioning the way things are done, passionate about doing what is right, and obsessed with providing a quality service experience, we have a job for you where you can be your best in an environment that's safe and nurturing.

Job Purpose
The HR Data Analyst is responsible for providing data-driven insights and analytics to support HR decision-making processes. This role focuses on analysing a range of people-related data including demographics, remuneration and incentives, leave trends, exit and stay interviews etc., to develop comprehensive insights and accurate people reports and dashboards. We are looking for an intelligent, self-driven person who has a passion for problem solving and who delights in using data to provide insights for business improvement.

Areas of responsibility may include but are not limited to:
Data Analysis & Reporting

• Track and maintain the integrity (completeness and quality) of people related data
• Analyse exit and stay interview data to identify key drivers of employee turnover and retention
• Track leave usage, trends and risks to ensure optimal workforce planning and compliance
• Develop and maintain an Exco "People dashboard" to provide real-time insights using HR metrics
• Identify trends and development needs based on Individual Development Plans
• Ad-hoc reporting based on business requests
• Design standard reports for line managers and HR through Smart People
• Submit regulatory reports e.g. Employment Equity, Annual Training Report and Workplace Skills Plan
• Monitor and report on working model adherence

• Remuneration

• Analyse trends, anomalies and opportunities for improvement

• Provide input to Bank Board and Remco reports
• Complete income differential analysis and recommendations
• Regularly review variable pay (actual vs budget) and provide input on recalibration of targets
• Analyse overtime trends to manage costs and identify root causes
• Complete all regulatory reports

Stakeholder Collaboration

• Work closely with business and the HR team to understand their data needs and provide relevant insights
• Collaborate with IT and data management teams to ensure data integrity and accuracy
• Act as liaison with the central People team on data and system issues and enhancements
• Present findings and recommendations to senior management and other stakeholders.

Compliance and Process Improvement

• Identify and implement process improvements to enhance data collection, analysis, and reporting
• Develop and maintain documentation for data analysis processes and methodologies
• Provide feedback on people processes to ensure the integrity of the data
• Ensure compliance with data privacy regulations and company policies
• Stay updated on industry best practices and emerging trends in HR analytics

Education, Experience And Skills

• Bachelor's degree in mathematics, finance, statistics, or related analytical field
• Minimum 3 years' experience in Analytics, using Excel, PowerBI and similar tools
• Exposure to remuneration data analytics would be advantageous
• Strong analytical and quantitative skills, including proficiency in data analysis tools and techniques

Personal Attributes And Skills

• Strong analytical and problem-solving skills
• Ability to work with, analyse and report on data
• Ability to deal with complexity, ambiguity and constant change
• Commitment to excellence and high-quality delivery
• Mature with high EQ and ability to work with confidential information
• Ability to communicate effectively

EMPLOYMENT EQUITY

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

Business Unit: Discovery Bank

Function: Data Analysis

Date: 1 Sept 2025

About Discovery

Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Bank

Discovery Bank is a bank like no other – a shared-value bank, designed with our clients in mind. We're all about sharing the value that clients create when they manage their money well, back with them through exceptional interest rates and rewards. Our Vitality Money programme measures how well clients manage their finances, informs them of what it means to be financially healthy, and empowers them with the knowledge to get enhanced rewards for managing their money well. If you're adaptable, a problem-solver, always questioning the way things are done, passionate about doing what is right, and obsessed with providing a quality service experience, we have a job for you where you can be your best in an environment that's safe and nurturing.

Job Purpose

The HR Data Analyst is responsible for providing data-driven insights and analytics to support HR decision-making processes. This role focuses on analysing a range of people-related data including demographics, remuneration and incentives, leave trends, exit and stay interviews etc., to develop comprehensive insights and accurate people reports and dashboards. We are looking for an intelligent, self-driven person who has a passion for problem solving and who delights in using data to provide insights for business improvement.

Areas of responsibility may include but are not limited to:

Data Analysis & Reporting

• Track and maintain the integrity (completeness and quality) of people related data
• Analyse exit and stay interview data to identify key drivers of employee turnover and retention
• Track leave usage, trends and risks to ensure optimal workforce planning and compliance
• Develop and maintain an Exco "People dashboard" to provide real-time insights using HR metrics
• Identify trends and development needs based on Individual Development Plans
• Ad-hoc reporting based on business requests
• Design standard reports for line managers and HR through Smart People
• Submit regulatory reports e.g. Employment Equity, Annual Training Report and Workplace Skills Plan
• Monitor and report on working model adherence
• Remuneration
• Analyse trends, anomalies and opportunities for improvement
• Provide input to Bank Board and Remco reports
• Complete income differential analysis and recommendations
• Regularly review variable pay (actual vs budget) and provide input on recalibration of targets
• Analyse overtime trends to manage costs and identify root causes
• Complete all regulatory reports

Stakeholder Collaboration

• Work closely with business and the HR team to understand their data needs and provide relevant insights
• Collaborate with IT and data management teams to ensure data integrity and accuracy
• Act as liaison with the central People team on data and system issues and enhancements
• Present findings and recommendations to senior management and other stakeholders.

Compliance and Process Improvement

• Identify and implement process improvements to enhance data collection, analysis, and reporting
• Develop and maintain documentation for data analysis processes and methodologies
• Provide feedback on people processes to ensure the integrity of the data
• Ensure compliance with data privacy regulations and company policies
• Stay updated on industry best practices and emerging trends in HR analytics

Education, Experience and Skills

• Bachelor's degree in mathematics, finance, statistics, or related analytical field
• Minimum 3 years' experience in Analytics, using Excel, PowerBI and similar tools
• Exposure to remuneration data analytics would be advantageous
• Strong analytical and quantitative skills, including proficiency in data analysis tools and techniques

Personal Attributes and Skills

• Strong analytical and problem-solving skills
• Ability to work with, analyse and report on data
• Ability to deal with complexity, ambiguity and constant change
• Commitment to excellence and high-quality delivery
• Mature with high EQ and ability to work with confidential information
• Ability to communicate effectively

EMPLOYMENT EQUITY

The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

About Prime SA

At Prime SA, we aim to reshape the motor vehicle insurance industry by providing the best possible insurance, delivered with humanity, simplicity, and compassion.

We're passionate about leveraging data to improve decision-making, drive growth, and create real impact across the business. Join our fast-paced and supportive team where your work will directly influence operations, strategy, and customer outcomes.

The Role

The
BI & Reporting Analyst
will be part of the Data Science & Analytics team, supporting departments across the business by transforming raw data into meaningful insights. You will play a hands-on role in building SQL data models, designing user-friendly dashboards in Power BI, and automating data workflows to ensure timely, accurate, and actionable reporting.

This position is based at our Bryanston office and reports to the Head of Data Science & Analytics.

Key Responsibilities

Business Intelligence & Analytics

• Design clear and intuitive Power BI dashboards for teams across sales, operations, and executive leadership.
• Develop reusable data models and DAX measures to enable self-service insights and scalable reporting.
• Translate business questions into data-driven visual stories that support better decision-making.

Data Engineering & SQL

• Write clean, efficient SQL queries to extract and prepare data from multiple sources.
• Optimise stored procedures, views, and data transformations for clarity and performance.
• Build and maintain lightweight, reproducible data pipelines using Python and/or Databricks.

Automation & Workflow Optimisation

• Develop scripts to automate ETL, reporting refreshes, or data quality checks using Python (pandas, SQLAlchemy, or PySpark).
• Use Git for version control and deploy code using basic CI/CD pipelines when needed.

Documentation & Quality Assurance

• Document dashboards, datasets, and SQL logic for transparency and maintainability.
• Write tests to validate critical SQL queries or Python code and reduce the risk of data errors.

Collaboration

• Work closely with senior data scientists, analysts, and business owners to clarify requirements and deliver value quickly.
• Proactively identify and raise data quality issues — and suggest practical solutions rather than short-term fixes.

Qualifications & Technical Skills

• 1-3 Years experience required
• A Bachelor's Degree in Mathematics, Statistics, Computer Science, Engineering, Biology, or equivalent experience
• Strong SQL skills — including data modelling, query optimisation, and advanced joins/window functions
• Power BI expertise — from semantic model design to interactive dashboard creation (Desktop & Service)
• Python proficiency — especially using pandas for data manipulation and SQL integration
• Comfortable with Git (GitHub, GitLab, or Azure Repos) and basic command-line tools
• Experience working across Windows and Linux environments

Nice to Have

• Familiarity with dbt, Delta Lake, or Databricks
• CI/CD workflows for Power BI using tools like Azure DevOps or GitHub Actions
• Exposure to high-volume transactional domains such as insurance
• Experience with cloud data platforms (e.g., Azure SQL, AWS RDS, or Google BigQuery)
• Basic understanding of Docker or containerised deployments

Personal Attributes & Soft Skills

• Analytical thinker with a natural curiosity for understanding the "why" behind numbers
• Clear communicator who can explain complex concepts in plain language
• Able to manage multiple requests and set realistic expectations
• Attention to detail — writes clean, well-documented code and tests solutions
• Collaborative mindset with a willingness to share knowledge and receive feedback

Ready to Make an Impact?

If you're passionate about data, eager to work in a collaborative environment, and motivated by the opportunity to improve real-world business outcomes, we'd love to hear from you.

Apply now and become a part of Prime SA's data-driven future.

• Data Exploration & Management:
  • Collect, clean, and prepare structured and unstructured financial data (e.g., client transactions, market prices, and investment flows).
  • Assist with preparing, cleansing, and transforming data for the BI environment, ensuring data quality and consistency.
• Model Development:
  • Support the development of machine learning models.
  • Help evaluate model performance, document outputs, and improve feature engineering.
  • Implement anomaly detection models across business units.
• Reporting & Visualization:
  • Create reports (Power BI) to communicate findings to stakeholders.
• Collaboration:
  • Work closely with different teams to understand their data needs and provide data-driven insights.
  • Partner with Data Engineers, Analysts, and business stakeholders to ensure that analytical outputs are relevant and actionable.
  • Contribute to internal automation, reconciliation, and alerting tools to streamline operations.

• Bachelors Degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field.
• Minimum of 0-2 years of experience in data analysis within the finance industry.
• Proficient in Python, including libraries such as pandas, matplotlib, and scikit-learn.
• Experience with Power BI, Excel, and other reporting tools.
• Experience in writing basic SQL queries.
• Knowledge of financial databases and platforms.
• Understanding of data pipelines, version control using Git, and cloud-based environments is advantageous.